Data Engineer

Job description

Data Engineer with a leading Banking client (consulting through FinXL)

FinXL Professional Services is a leading IT consultancy that partners with clients to bridge the gap between business needs and technology capabilities. Since 2003, we've been delivering high-value ICT services across government, finance, telecommunications, and enterprise sectors.

FinXL is seeking a Senior Data Engineer to join our consulting team and be deployed with a leading Banking client on a 12 months contract in Sydney.

Responsibilities

  • Contribute to the design and development of data pipelines and platform features.
  • Support transformational data initiatives within the Credit Risk technology domain.
  • Create practical, well-structured solutions for complex technical challenges.
  • Ensure data capabilities are accessible and aligned to emerging business needs.
  • Influence outcomes through active participation in a collaborative engineering team.
  • Drive the implementation of data capabilities within a Lakehouse environment.

Key Skills & Experience

  • Extensive experience with AWS Glue and the AWS Glue Data Catalog.
  • Strong proficiency in Python or Java alongside advanced SQL skills.
  • Hands-on experience with Apache Spark and Amazon S3.
  • Proven expertise in data orchestration using Airflow, DBT, or Control-M.
  • Familiarity with data processing and query tools like Starburst Presto.
  • Experience monitoring data pipelines using tools such as Grafana or Splunk.
  • Exposure to AI-based development practices for data and code analysis.
  • Excellent communication and stakeholder management skills.

Engagement Details

  • 12 months contract with a leading Banking client.
  • Hybrid working model with 3 days/ week in the office in Sydney CBD.

Next Steps

  • Apply now highlighting relevant skills and experience and address your application to Julia Leung. Due to the high volume of applications only shortlisted candidates can be contacted.